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Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic
  Equations through a Physics-Informed Convolutional Autoencoder

Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder

27 August 2021
R. Cooper
Andrey A. Popov
Adrian Sandu
ArXiv (abs)PDFHTML

Papers citing "Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder"

3 / 3 papers shown
Title
A Meta-learning Formulation of the Autoencoder Problem for Non-linear
  Dimensionality Reduction
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction
Andrey A. Popov
A. Sarshar
Austin Chennault
Adrian Sandu
58
2
0
14 Jul 2022
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data
  Assimilation
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
Austin Chennault
Andrey A. Popov
Amit N. Subrahmanya
R. Cooper
Ali Haisam Muhammad Rafid
Anuj Karpatne
Adrian Sandu
81
10
0
16 Nov 2021
Forecasting Sequential Data using Consistent Koopman Autoencoders
Forecasting Sequential Data using Consistent Koopman Autoencoders
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TSAI4CE
206
152
0
04 Mar 2020
1